A dynamic model integrating colour and shape information for objects tracking in conditions of occlusion

In this paper, an algorithm for tracking multiple rigid and non-rigid objects in conditions of occlusion is presented. The proposed method is based on a scalable and adaptive model based on joint information of color and shape. Through a GHT (generalized Hough transform) based voting method the center of mass of each object can be determined in real time with a good degree of precision. Quantitative and qualitative results are presented to validate the efficiency of the method